Investigating cortisol excess or deficiency: a practical approach.

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Adrenal lesions found incidentally: how to improve clinical and cost-effectiveness

Introduction Adrenal incidentalomas are lesions that are incidentally identified while scanning for other conditions. While most are benign and hormonally non-functional, around 20% are malignant and/or hormonally active, requiring prompt intervention. Malignant lesions can be aggressive and life-threatening, while hormonally active tumours cause various endocrine disorders, with significant morbidity and mortality. Despite this, management of patients with adrenal incidentalomas is variable, with no robust evidence base. This project aimed to establish more effective and timely management of these patients. Methods We developed a web-based, electronic Adrenal Incidentaloma Management System (eAIMS), which incorporated the evidence-based and National Health Service–aligned 2016 European guidelines. The system captures key clinical, biochemical and radiological information necessary for adrenal incidentaloma patient management and generates a pre-populated outcome letter, saving clinical and administrative time while ensuring timely management plans with enhanced safety. Furthermore, we developed a prioritisation strategy, with members of the multidisciplinary team, which prioritised high-risk individuals for detailed discussion and management. Patient focus groups informed process-mapping and multidisciplinary team process re-design and patient information leaflet development. The project was partnered by University Hospital of South Manchester to maximise generalisability. Results Implementation of eAIMS, along with improvements in the prioritisation strategy, resulted in a 49% reduction in staff hands-on time, as well as a 78% reduction in the time from adrenal incidentaloma identification to multidisciplinary team decision. A health economic analysis identified a 28% reduction in costs. Conclusions The system’s in-built data validation and the automatic generation of the multidisciplinary team outcome letter improved patient safety through a reduction in transcription errors. We are currently developing the next stage of the programme to proactively identify all new adrenal incidentaloma cases

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Limitations of glycosylated haemoglobin (HbA1c) in diabetes screening

Recently, glycosylated haemoglobin (HbA1c) has been recommended by the American Diabetes Association (ADA), the World Health Organisation and subsequently by many other professional bodies as a diagnostic tool for diabetes mellitus. However, the cut-off values suggested vary between these groups and uncertainties remain regarding the limitations of this test and its effectiveness as a diagnostic tool. We wished to assess the effect of HbA1c on detection rates for dysglycaemia in a high risk cohort of 200 patients with possible acute coronary syndrome not previously known to have diabetes.Anthropometric as well as HbA1c, oral glucose tolerance tests (OGTT), random and fasting plasma glucose (RPG and FPG) concentrations, fasting lipids and high sensitivity C-reactive protein data were obtained during admission. We examined each of the recommended cut-off values for HbA1c. Test accuracy was assessed by the degree of misclassification (both under- and over-diagnosis) of patients into normal glycaemic control, impaired glucose tolerance and diabetes mellitus based on OGTT data using WHO criteria. A predictive index (PI) was generated using stepwise ordinal regression models (incorporating FPG, HbA1c, HDL-C, triglycerides, age and gender).HbA1c alone, using the International Expert Committee cut-off values, had unacceptably high misclassification rates (49.0% under- and 2.5% over-diagnosed). This did not improve when ADA criteria were examined, despite their lower cut-off values for normoglycaemia (44.4% under- and 7.1% over-diagnosed). FPG was marginally better, misclassifying 44.4% (mostly under-diagnosis; 41.4%). The PI had the lowest misclassification rate (35.9%; with 22.7% under- and 13.1% over-diagnosed).In conclusion, our data suggest that HbA1c alone offers little advantage over FPG in detecting dysglycaemia in this high risk population. Our approach using a predictive index to combine HbA1c with other test data will enhance its performance. Copyright © 2012 John Wiley & Sons

SAT-372 Correlation of Serum Dexamethasone and Cortisol Concentrations Post Dexamethasone 1 Mg in the Overnight Dexamethasone Suppression Test in Patients with Unilateral and Bilateral Adrenal Incidentalomas

Background: The most common functional abnormality in adrenal incidentalomas (AI) is autonomous cortisol secretion. Most guidelines recommend a 1 mg overnight dexamethasone suppression test (ONDST) as a screening test for this abnormality. There is some evidence that simultaneous measurement of post dexamethasone serum dexamethasone (SD) with serum cortisol (SC) improves the accuracy of the ONDST. We have therefore been routinely measuring SD in our unit to ensure adequate concentrations when interpreting the results of this test. Aim: To measure the correlation between SD and SC concentrations and SD with the decrement in serum cortisol levels from baseline (9 am the day before the test) to the post dexamethasone level (DSC) in the ONDST. Method: We examined the results of 57 patients with unilateral or bilateral adrenal incidentalomas who underwent a 1 mg ONDST on our unit. Using linear regression analysis, we correlated SC and SD concentrations and serum SD concentration with the DSC. We also examined whether lower levels of SD were associated with adequate suppression of SC following ONDST. Results: SD levels range 16, median 7.656 nmol/L. SC range <22 to 780, median 39 nmol/L and baseline cortisol range 51 to 570, median 314 nmol/L. There was no significant correlation between SD and SC (P=0.059, R squared 0.09). There was also no significant correlation with DSC (P=0.082, R squared 0.07). However, we did note adequate suppression of SC following ONDST even when the SD levels were at the lowest measurable levels (<0.3 nmol/L). Conclusion: There does not appear to be a significant correlation between SD concentrations SC or DSC in an ONDST in patients with AI. However, this small retrospective analysis indicates that even at low levels of SD, adequate suppression of SC can be observed

The Utility of Salivary Cortisone in the Overnight Dexamethasone Suppression Test in Adrenal Incidentalomas

BackgroundGuidelines recommend the assessment of cortisol secretion in patients with adrenal incidentalomas (AI) using the overnight dexamethasone suppression test (ONDST). This requires attendance to a health care facility and venepuncture. Alternatively, the ONDST can be done by measuring salivary cortisol and cortisone which can be collected at home. We aimed to assess the utility of these measurements in patients with AI.Materials and MethodsA retrospective analysis of data from 173 patients with AI who underwent an ONDST and salivary cortisol/cortisone diurnal studies. Serum and salivary cortisol and salivary cortisone were collected at 09:00, late night and at 09:00 post dexamethasone. Dexamethasone levels were measured in the post dexamethasone samples. Serum and salivary samples were analysed with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Stata

Is the Current Cut Point for Glycated Haemoglobin (HbA1c) Correct for Diagnosing Diabetes Mellitus in Premenopausal Women? Evidence to Inform Discussion

Women are on average diagnosed with diabetes mellitus at later age than men but have higher mortality. As the diagnosis of diabetes mellitus is primarily based on HbA1c, the use of a non-specific reference range and cut point for diabetes mellitus that does not account for gender differences in diabetes could potentially lead to underdiagnosis of diabetes mellitus in women and missed opportunities for intervention. We investigated whether a contributing factor to the later diagnosis in women may be a difference in distribution of HbA1c in premenopausal women versus men of the same age by comparing HbA1c values in men and women across multiple sites in the UK. We analysed the HbA1c levels of 146,907 individuals who underwent single testing only and had HbA1c ≤ 50mmol/mol between 2012 and 2019 in one laboratory (cohort1). This was replicated in six laboratories with 938,678 individuals tested between 2019 and 2021 (cohort2). In cohort1, women < 50years old had an HbA1c distribution markedly lower than that in men by a mean of 1.6mmol/mol (p < 0.0001), while the difference in the distribution of HbA1c for individuals aged ≥ 50years was less pronounced (mean difference 0.9mmol/mol, p < 0.0001). For individuals under the age of 50, HbA1c in women lagged by up to 10years compared to men. Similar findings were found in cohort2. We estimated an additional 17% (n = 34,953) of undiagnosed women aged < 50years in England and Wales could be reclassified to have diabetes mellitus, which may contribute to up to 64% of the difference in mortality rates between men/women with diabetes mellitus aged 16-50years. The HbA1c cut point for diagnosis of diabetes mellitus may need to be re-evaluated in women under the age of 50years. Early identification of diabetes mellitus in women has the potential to improve women's health outcomes in the longer term. [Abstract copyright: © 2023. The Author(s).